Mythic develops analog compute-in-memory technology for AI inference acceleration, delivering 100x improvements in energy efficiency, cost efficiency, and performance scalability compared to traditional digital GPU architectures. Its Analog Processing Units (APUs) store AI parameters directly in the processor, eliminating memory bottlenecks by collapsing compute and memory into a single plane. The company serves data center, automotive, robotics, and defense markets, enabling applications such as LLM inference serving over 10,000 tokens/sec/user, smarter vehicle sensors, fully automated factories, and enhanced threat detection. Mythic recently acquired Videantis to build the world's most energy-efficient AI compute platform and has a joint development partnership with Honda for next-generation vehicle AI chips. Founded in 2012 and headquartered in Austin, Texas, Mythic has raised over $266M in Series D funding from investors including BlackRock, DFJ, Lux Capital, Lockheed Martin, Micron, Hewlett Packard Pathfinder, and Valor Equity Partners.
Mythic
Series DMythic develops analog compute-in-memory technology for AI inference acceleration, delivering 100x improvements in energy efficiency, cost efficiency, and performance scalability compared to traditional digital GPU architectures. Its Analog Processing Units (APUs) store AI parameters directly in the processor, eliminating memory bottlenecks by collapsing compute and memory into a single plane. The company serves…
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Business model
Edge Computing > Edge AI Processors > AI Accelerators,
AI Infrastructure > Enabling Technologies > Hardware > Processors > Edge Processors,
Embedded Systems > Embedded Hardware > Core Processors > Application Specific Processors > AI Accelerator,
Digital ICs > Microprocessors > Artificial Intelligence and Machine Learning > Intelligent Processing Unit,
Dcode Batches > Big Data and Advanced Analytics
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